A suite of tools to smoothly and simply extract the essence of a text, for use both with online text streams or your own data sets. Our tools give you instant insights into what is said and how, as well as the concepts and emotions as expressed in text.
Find out what is said online about your brand, how your marketing campaign is received by its audience, or process customer surveys, employee questionnaires, or opinion polls. Our tools are built with a convenient web GUI for interactive use or with a customisable API for integration in your tools or services.
Keep track of everything that happens online with respect to your target of interest in one simple and convenient dashboard. Gavagai Monitor collects and reads everything written in all public text streams in any language and reads it all, to create executive summaries for you, giving you instant insights into what is going on.
No need to avoid open text answers anymore - coding them just became much easier! Upload your survey responses and Gavagai Explorer will identify the most salient concepts and cluster the texts for you. You will be able to navigate through the responses, recluster, combine concepts, and find your insights in a fraction of the time previous coding schemes would afford. Save days or weeks of manual hard work using Gavagai Explorer!
With Gavagai Sentiment you can track emotions, attitudes, sentiment, or affect for anything and everything written online. Gavagai Sentiment analysis measures not only what is being said but also how it is expressed. The analysis tool can be set to give alerts and notifications when the attitude online shifts. Gavagai Sentiment allows you to track a number of predefined sentiments, not limited to Positive and Negative, but also to define an attitude of interest for your business or PR needs.
Our text analytics engine is handily available for all techies out there! Our customers can integrate our services into their products and processes.
Gavagai Theme Wheels is Gavagai’s (improved) version of word clouds. Read more in the LinkedIn post.
Gavagai Explorer is available in beta version. Gavagai Explorer is a tool to analyze related texts to find common themes, their associated terms, their sentiment scores and their importance (in terms of number of respondent mentions). Although the primary use case for Explorer is open-ended question analysis of surveys it can be used for the analysis of any set of related texts such as hotel reviews. Gavagai Explorer aims to give the analyst a comprehensive and quantified view of the data; it identifies the main topics or themes and measures their importance as a relative strength to the total number of texts. This means…
Here is an article about the applicability of Gavagai’s technology from a birds-eye business perspective.
One of the strongest trends in Natural Language Processing (NLP) at the moment is the use of word embeddings, which are vectors whose relative similarities correlate with semantic similarity. Such vectors are used both as an end in itself (for computing similarities between terms), and as a representational basis for downstream NLP tasks like text classification, document clustering, part of speech tagging, named entity recognition, sentiment analysis, and so on. That this is a trend is obvious when looking at the proceedings from the recent large conferences in NLP, e.g. ACL or EMNLP. For the first time (ever), semantics was…